Task-The-Sparks-Foundation

This repository consists of projects that I have worked during my instinct as a Data Science and Business Analytics Intern at The Sparks Foundation All the project work is done on jupyter notebook using Python language In this project I have worked on 3 tasks assigned to me

Task-1: Prediction using supervised Machine Learning The objective of the task1 was to predict the percentage obtained by a student on the basis of number of hours studied using linear regression and python.

Task-2: Prediction using unsupervised Machine Learning The objective of the task2 was to predict the optimum number of clusters and represent it visually for Iris flower dataset

Task-3: Exploratory Data Analysis - Retail The objective of task3 was to perform exploratory data analysis using python on SampleSuperstore dataset , try find out the weak areas where you can work to make more profit.